Bug Bounty Roadmap: Build Fundamentals Before Using AI to Accelerate Hunting

Summary

The presenter lays out a five-pillar bug bounty roadmap: learn web-security fundamentals, use AI to accelerate study and testing, and retain human judgment. He also advises sanitizing reports to avoid sharing sensitive, unreported bug details with AI models.

Key points

• The presenter argues AI amplifies established bug-hunting knowledge rather than replacing fundamentals or human judgment.
• Start with HTTP, authentication, OWASP Top 10 bug classes, and hands-on labs; treat AI as a tutor, not a substitute.
• Use AI to explain write-ups, quiz learners, organize reconnaissance results, and draft scripts from precise specifications.
• For bug bounty work, map application features and requests, test access controls and other selected bug classes, then independently validate results.
• AI may miss business logic; hunters should interpret findings, document generated scripts, and understand what those scripts do.
• Use AI to improve reports and learn from testing, but sanitize endpoints, payloads, and other sensitive details. The presenter says hunters have concerns about unreported bug data being used for model training.
• The presenter recommends learning with peers and security communities alongside AI.